[kubeflow 1.8] Kubeflow 1.8 Tracking Issue

[DnPlas]

This issue will provide high level updates of Kubeflow 1.8 release.

• Release timeline
• Release team

TODO:

• Create an issue for the release timeline proposal:
  First release timeline proposal
• Add a directory for 1.8 release in releases
• Update the release team md file
• Create a 1.8 Release Team Board in Github
• Add link of the release timeline on this description

cc: @kubeflow/release-team @jbottum

[helloericsf]

After evaluating our engineering roadmap and priorities, the BentoML team has decided to pause the integration with Kubeflow Pipelines in the 1.8 release.
We value our collaboration with Kubeflow and apologize for any disruption this causes. We believe pausing the integration temporarily is the right decision to ensure we deliver quality features. We look forward to resuming our work together in future releases.
I wanted to let you know about this decision openly and transparently. Please reach out if you have any questions or concerns. As the serving work group liaison, I do not anticipate any changes in my role or responsibilities.
cc @DnPlas

[DnPlas]

Hi community, as we approach our feature freeze (Aug 2nd) I think it is worth to ask about anything that you folks think will require more time to be completed before that date. The release team liaisons have been doing an excellent job at communicating with WG leads, but I extend the question to the rest of the community.

cc: @kubeflow/wg-automl-leads @kubeflow/wg-manifests-leads @kubeflow/wg-notebooks-leads @kubeflow/wg-pipeline-leads @jbottum

[juliusvonkohout]

@tzstoyanov will commit the istio 1.18 upgrade in #2455 tomorrow and i hope that the other additional rootless stuff will not be relevant for the feature freeze as written down in the PR description.

[DnPlas]

@adriangonz FYI, just so you have the dates and all information about the upcoming release.

[kimwnasptd]

Hey @DnPlas, I'd like to sincerely ask that we have a 1 week delay. The situation with Notebooks WG is the following:

1. I'd really like to include Add PVCViewer Frontend Integration kubeflow#7179, since it's the last piece to include @TobiasGoerke's effort
2. There's an issue with our CI and it's failing to build images, which we are tracking in crud-web-apps can't be build for ppc64le notebooks#82

The plan I have in mind for Notebooks WG is to evaluate as soon as possible how can we unblock the CI and do the review on the PVCViewer integration. I'm expecting this to take until this Friday, 4th August.

Then on Monday we cut our v1.8-branch in the kubeflow/kubeflow repo and make some small PRs we need to build all the images and update the manifests. I'd expect this to take 1 day, even though the PRs are small due to the async communication.

Lastly, these are the PRs that I'd also want to finalise during the feature freeze, but am OK to not delay the release for those and cherry-pick afterwards:

• Manage multiple profiles from centraldashboard UI kubeflow#7028
• ci: Build ARM images for core components kubeflow#7220

[DnPlas]

ACK @kimwnasptd, I'll share this information with the release team.

[kimwnasptd]

@DnPlas @NohaIhab from Notebooks WG side we've:

1. Merged the PR we wanted for the Volumes UI Add PVCViewer Frontend Integration kubeflow#7179
2. Fixed the CI resolve build exception generated due to latest gevent version. kubeflow#7231

We'll proceed the next couple of days now with cutting the release branch and updating our manifests for the RC

[DnPlas]

@kimwnasptd thanks for the update, please keep the team posted as we are planning to finish the manifest sync next week (Wednesday).

cc: @NohaIhab

[yhwang]

@DnPlas I just created a PR to update the Kubeflow Tekton Pipelines manifest to 2.0.0: kubeflow/kubeflow#2500
cc @Tomcli

[DnPlas]

Hi folks, I would like to announce that the Kubeflow 1.8 RC.0 is out 🎉 and that we have started with manifest testing. We expect to finish this process by the end of this week (September 15th).

I'd like to encourage community members to start testing the release and provide feedback, as well as file issues if any. I would also like to remind all Distribution owners that once Manifest Testing ends we will begin Distribution Testing on September 15th (as soon as we have the results of manifest testing). Please get your Distributions and infrastructure ready for that stage.

I also want to take the opportunity to thank all the community members who have helped with getting to this stage. Let's keep working toward a successful release!

[DnPlas]

The release team is happy to announce that we have released Kubeflow 1.8 RC.1.

This is now the time for Distributions to start with their testing. The release team kindly asks for feedback by the EOW next week. Feel free to submit issues and comment on the various WGs repositories.

I'd like to encourage community members to start testing the release and provide feedback, as well as file issues if any.

I also want to take the opportunity to thank all the community members who have helped with getting to this stage. Let's keep working toward a successful Release!

[pmuilu]

So is it so that kfp v2 will be still broken with KF 1.8? (At least #8733 is still open)

[DnPlas]

So is it so that kfp v2 will be still broken with KF 1.8? (At least #8733 is still open)

hey @chensun @zijianjoy pinging you folks for getting more accurate information. Do you think this issue deserves more attention?

[kromanow94]

Hello, I have a few issues with 1.8 based on my tests on Kubeflow 1.8 RC.1:

• If the Pipeline Run Steps are Pending, there is an error shown

  Cannot get MLMD objects from Metadata store.
  

  This is resolved after the Pod for any of the Steps is created (so if I get this right, after metadata-writer creates an entry in MLMD DB based on Running Pod).

• The Pipeline Run Page doesn't show the main-logs output artifact which makes accessing logs from the Steps after the Pod was deleted not possible.
• In the Pipeline Run Page it's not possible to access the input and output artifacts due to RBAC Access Denied error. Those artifacts are visible through the Artifacts Page though.

In general I feel that previous version of the KF Pipeline UI was more informative. For example, if the Pods' Step was Pending, it was possible to see the reason of Pending state in the Pipeline Run Page.

Is there a way to enable back the main-logs artifact?

[Davidnet]

Tagging @Linchin for visibility, I don't know if we should create an issue in kfp, but I think kfp is working as expected ? Let me know what you think

[kromanow94]

@Davidnet from perspective of running the Steps in the Pipeline Run, I think kfp is working as expected. It's more about the dashboard, although I'm not sure if the exception Cannot get MLMD objects from Metadata store is expected. Is the Pipeline Run dashboard maintained by the Pipelines WG or another one?

[Linchin]

Hi @kromanow94, thank you for your feedback. I haven't completed testing rc.1 yet, but I think with my rc.0 deployment I could answer some of your questions.

If the Pipeline Run Steps are Pending, there is an error shown Cannot get MLMD objects from Metadata store.

I have reproduced this error and I will investigate further into it.

The Pipeline Run Page doesn't show the main-logs

This is a v1 feature that is not implemented in v2. I have created an issue in the KFP repo about this.

it's not possible to access the input and output artifacts due to RBAC Access Denied error.

I haven't been able to reproduce this on an rc.0 deployment, but I will double check on rc.1.

[thesuperzapper]

@kimwnasptd we need to make sure that ARM support gets merged before the final 1.8 RC:

• ci: Build ARM images for core components kubeflow#7220

---

Also, given how many issues and pending PRs are not going to make it for Kubeflow 1.8, I propose we plan to decouple versions of the kubeflow/kubeflow repo components from the overall Kubeflow 1.X versions.

This will allow us to cut a 1.9.0 release (of the Notebooks WG components) with some of the important fixes/features without waiting literally months. Anyone interested can discuss this proposal here:

• [PROPOSAL] decouple versions in this repo from Kubeflow itself (speed up feature delivery) kubeflow#7300

[DnPlas]

Hi @kromanow94, thank you for your feedback. I haven't completed testing rc.1 yet, but I think with my rc.0 deployment I could answer some of your questions.

If the Pipeline Run Steps are Pending, there is an error shown Cannot get MLMD objects from Metadata store.

I have reproduced this error and I will investigate further into it.

The Pipeline Run Page doesn't show the main-logs

This is a v1 feature that is not implemented in v2. I have created an issue in the KFP repo about this.

it's not possible to access the input and output artifacts due to RBAC Access Denied error.

I haven't been able to reproduce this on an rc.0 deployment, but I will double check on rc.1.

hey @Linchin , thanks for your reply. Should we consider this issue as a blocker for the release? If so, should we expect an RC2 from the pipelines WG to fix this?

[kimwnasptd]

Regarding Notebooks, we are very close to merging the following 2 and would like to ask we wait one day tops to get those in.

• ci: Build ARM images for core components kubeflow#7220
• Make principals dynamic in Profiles Controller kubeflow#7310

[yhwang]

@DnPlas I'd like to update kfp-tekton from 2.0.0 to 2.0.1 and here is the PR: kubeflow/kubeflow#2545 . Thanks!

[DnPlas]

Hi folks,

Just so you know, RC4 is ready!

[DnPlas]

I've been experimenting with 1.8-rc2 and kfp=2.3.0 and have run into several issues that are blockers for me and may be for others as well. A list of them is as follows:

1. Unable to use `.after()` when referencing a component within a `ParallelFor`.  [Issue](https://github.com/kubeflow/pipelines/issues/10050) with more details here.

2. Cannot assign variables from kubernetes metadata to be environment variables as we could with `kfp=1.8.21` and earlier backend versions. [Issue](https://github.com/kubeflow/pipelines/issues/10155) with more details here.

3. Cannot assign dynamic node_selector, cpu/memory requests/limits as we could with `kfp=1.8.21` and earlier backend versions. [Issue](https://github.com/kubeflow/pipelines/issues/10154) with more details here.

4. Unable to pass data artifacts from parent node outside a `ParallelFor` to a child node within a `ParallelFor`. [Issue](https://github.com/kubeflow/pipelines/issues/10149) with more details here.

Happy to provide more info if any of these are not clear!

Hi @TristanGreathouse, thanks for the feedback and for filing those issues. It sounds like a SDK issue, but I'd suggest you try RC4 to make sure you have received the latest version of pipelines (2.0.2).

Soft ping to @chensun as he is the WG lead.

[chensun]

I've been experimenting with 1.8-rc2 and kfp=2.3.0 and have run into several issues that are blockers for me and may be for others as well. A list of them is as follows:

1. Unable to use .after() when referencing a component within a ParallelFor. Issue with more details here.
2. Cannot assign variables from kubernetes metadata to be environment variables as we could with kfp=1.8.21 and earlier backend versions. Issue with more details here.
3. Cannot assign dynamic node_selector, cpu/memory requests/limits as we could with kfp=1.8.21 and earlier backend versions. Issue with more details here.
4. Unable to pass data artifacts from parent node outside a ParallelFor to a child node within a ParallelFor. Issue with more details here.

Happy to provide more info if any of these are not clear!

Thank you @TristanGreathouse for the detailed issues.

• 1 is by design that we explicitly blocks after reference across DAGs (ParallelFor, Condition, ExitHandler are all DAGs under the hood). I do see we may be able to lift this restriction for ParallelFor, will follow up in the issue. This, if we were to change, would be SDK only change. So I think we don't need to tie it to the Kubeflow deployment release.
• 2 and 3 are both known limitations. We don't have a timeline for supporting these features at this moment, but if there's interests in contributing, we'd happy to follow up in the issues.
• 4 is a bug and I made a fix. Will do a patch release shortly. @DnPlas, I'll get back to you once this release is out. (ETA by end of this week)

[TristanGreathouse]

Thanks @DnPlas and @chensun for the responses!

• 1 Thanks, this is good to know!
• 2 & 3 Yeah I am very interested in contributing and have other members on my team that have expressed interest (CC: @sachdevayash1910 @catapulta). We can start looking into fixes for this, although I'm not yet super familiar with the codebase. If you already have suggestions on where to begin please let us know :)
• 4 Wow, this is great news! Thanks!

[chensun]

@DnPlas I just cut KFP 2.0.3: https://github.com/kubeflow/pipelines/releases/tag/2.0.3
Can you please update and make another RC? Thank you!

[DnPlas]

Thanks @chensun for the fast reply! Here's the PR for syncing all manifests.

I'll use this opportunity to check on other WGs as we are approaching the release date. Please let us know if there is a need for another manifest sync in the following hours as next week would be too late to integrate changes.

cc: @chensun @kimwnasptd @thesuperzapper @andreyvelich @johnugeorge @yuzisun

[DnPlas]

Hi everyone, RC5 is here!

[yhwang]

Hi @DnPlas
Because of KFP 2.0.3, it would be good to also update kfp-tekton to 2.0.3. I have a PR here: #2563

Having kfp-tekton 2.0.3 in the final RC would be great. Thanks!

[DnPlas]

@yhwang ack! I will include it in the final release.

[DnPlas]

Hi community,

In preparation for the release, from the release team we'd like to provide a last chance to give feedback and file issues you consider are potential blockers. As we approach the release (Nov 1st, 2023), we'd like to ensure we don't leave any unattended issues that may happened on the last RC5.
Thanks to all the people that already provided feedback!

[kromanow94]

Hi @DnPlas , great news, thanks!

Is it possible that the [feature] display main.log as artifact for each step will be done within this release? In platforms running hundreds or thousands KF Pipelines everyday there is a high chance for a Garbage Collection on Argo WF to be configured, which means the logs are available only for as long as the Garbage Collection keeps the Pods. Also, having the possibility to see the historical execution for reference for longer than a few hours is something that's already possible in prior versions so this is a feature degradation.

[TristanGreathouse]

@DnPlas I just filed this issue last night in which ParallelFor / Sub-DAG artifacts from component in the first DAG get overwritten by the same component (different inputs) in a duplicate sub-dag template. This basically means sub-dags cannot be repeated (albeit with different inputs/outputs) within the root dag.

[DnPlas]

Hi @DnPlas , great news, thanks!

Is it possible that the [feature] display main.log as artifact for each step will be done within this release? In platforms running hundreds or thousands KF Pipelines everyday there is a high chance for a Garbage Collection on Argo WF to be configured, which means the logs are available only for as long as the Garbage Collection keeps the Pods. Also, having the possibility to see the historical execution for reference for longer than a few hours is something that's already possible in prior versions so this is a feature degradation.

Hi @kromanow94 this is a feature that has its own tracking issue, but since we have already closed the call window for adding features, I'm afraid this cannot be included in this release. Pinging @Linchin and @chensun so they are aware of this for the next release cycle.

[DnPlas]

@DnPlas I just filed this issue last night in which ParallelFor / Sub-DAG artifacts from component in the first DAG get overwritten by the same component (different inputs) in a duplicate sub-dag template. This basically means sub-dags cannot be repeated (albeit with different inputs/outputs) within the root dag.

hey @chensun, do you mind confirming if this is a blocking issue?

[DnPlas]

Just a quick update on the RC5 testing, the release team has executed the e2e tes as a complementary testing and the results are positive. This plus the testing performed by distributions and users has helped to provide a better version of Kubeflow.

Here are the results of the tests:

(Tested on K8s 1.25)

Run ID:  5ef0267f-8b4f-45a2-8dc2-8f7ee5192ab8
Waiting for mnist-e2e experiments.kubeflow.org to get created...
mnist-e2e experiments.kubeflow.org got created.
Waiting for mnist-e2e tfjobs.kubeflow.org to get created...
mnist-e2e tfjobs.kubeflow.org got created.
Waiting for mnist-e2e tfjobs.kubeflow.org to succeed...
mnist-e2e tfjobs.kubeflow.org succeeded.
Waiting for mnist-e2e experiments.kubeflow.org to succeed...
mnist-e2e experiments.kubeflow.org succeeded.
Waiting for mnist-e2e inferenceservices.serving.kserve.io to get created...
mnist-e2e inferenceservices.serving.kserve.io got created.
Waiting for mnist-e2e inferenceservices.serving.kserve.io to succeed...
mnist-e2e inferenceservices.serving.kserve.io succeeded.
Cleaning up opened processes.

[DnPlas]

In preparation for the release, these are the components that must be synced into this repository:

• kubeflow/kubeflow v1.8.0 Update kubeflow/kubeflow manifests from v1.8.0 #2567
• kubeflow/pipelines v2.0.3 Update kubeflow/pipelines manifests from 2.0.3 #2562
• kubeflow/katib v0.16.0 Update kubeflow/katib manifests from v0.16.0 #2565
• kubeflow/kfp-tekton 2.0.3 Update kubeflow/kfp-tekton manifests from v2.0.3 #2563
• kubeflow/training-operator 1.7.0 Update kubeflow/training-operator manifests from v1.7.0 #2566
• kserve/kserve 0.11.1 Update kserve manifests from v0.11.1 #2552

The following documentation PRs have to be merged as well:

• Blog post Adding v2 draft for kubeflow release 1.8 blog#138
• Add Kubeflow 1.8 Release Page website#3615

[johnugeorge]

https://github.com/kubeflow/training-operator/releases/tag/v1.7.0 is created from v1.7 branch

[chensun]

@DnPlas I just filed this issue last night in which ParallelFor / Sub-DAG artifacts from component in the first DAG get overwritten by the same component (different inputs) in a duplicate sub-dag template. This basically means sub-dags cannot be repeated (albeit with different inputs/outputs) within the root dag.

hey @chensun, do you mind confirming if this is a blocking issue?

Agree this is a bug, but probably not significant enough to block/delay the release. Will follow up in the issue.

[DnPlas]

Hello Kubeflow Community,

The release team is happy to announce that Kubeflow 1.8 is now available. The release highlights can be found in the Kubeflow 1.8 blog post, and the specifics about components and their versions are in the Kubeflow 1.8 website entry.

We'd like to thank everyone in the community for supporting during this release cycle by planning, developing, testing, and providing feedback.It would've not been possible without the support of such great community.

If you'd like to provide feedback on the release cycle, we will have retrospective sessions in the next two Release Team Meetings at 18:00 CEST every Monday (Community Calendar).

Kubeflow 1.8 Release Team

[szymek116]

@DnPlas

KFP 2.0.2 tag is out: https://github.com/kubeflow/pipelines/releases/tag/2.0.2 Can we pull its manifests into the next RC? Thanks!

Hi!
I see this was inlcided in 1.8 finally but for me still does not fix the issue, when running non rooted image I still get:

F1112 19:54:25.274010 34 main.go:49] failed to execute component: unable to create directory "/minio/mlpipeline/v2/artifacts/hello-pipeline/605cef82-4331-4d0b-8f34-888485a3bb77/html-visualization" for output artifact "html_artifact": mkdir /minio: permission denied

Is anything more needed for this to be fixed ? I saw open issue on that but pretty much the same stuff that was merged at least around file permissions on that folder which I believe was root cause

kubeflow/pipelines#6530

I see on 1.9 agenda (kubeflow/kubeflow#6662) point try out kfp v2 rootless, I guess that's what I have done :) I can provide more details on my test, but maybe create a separate ticket for this ?

[DnPlas]

hi @szymek116, I will let @chensun confirm this information as it is very specific to pipelines. Chen, it would be great if you could also confirm if this will require a patch release from the release team.

cc: @Davidnet

[rvadim]

Hi! Confirm problems with permissions for Run of [Tutorial] DSL at a rootless env.

ERROR: Could not install packages due to an OSError: [Errno 13] Permission denied: '/.local'
Check the permissions.
I1115 09:26:26.725677      36 launcher_v2.go:151] publish success.
F1115 09:26:26.725728      36 main.go:49] failed to execute component: exit status 1
time="2023-11-15T09:26:27.224Z" level=info msg="sub-process exited" argo=true error="<nil>"
Error: exit status 1
time="2023-11-15T09:26:28.153Z" level=info msg="sub-process exited" argo=true error="<nil>"
Error: exit status 1

[chensun]

@DnPlas
KFP 2.0.2 tag is out: https://github.com/kubeflow/pipelines/releases/tag/2.0.2 Can we pull its manifests into the next RC? Thanks!

Hi! I see this was inlcided in 1.8 finally but for me still does not fix the issue, when running non rooted image I still get:

F1112 19:54:25.274010 34 main.go:49] failed to execute component: unable to create directory "/minio/mlpipeline/v2/artifacts/hello-pipeline/605cef82-4331-4d0b-8f34-888485a3bb77/html-visualization" for output artifact "html_artifact": mkdir /minio: permission denied

Is anything more needed for this to be fixed ? I saw open issue on that but pretty much the same stuff that was merged at least around file permissions on that folder which I believe was root cause

kubeflow/pipelines#6530

I see on 1.9 agenda (kubeflow/kubeflow#6662) point try out kfp v2 rootless, I guess that's what I have done :) I can provide more details on my test, but maybe create a separate ticket for this ?

Rootless kfp is a proposal and contribution from the community that the Pipeline WG agreed and reviewed. Regrettably, it did not reach completion. While we are still open to community assistance in finishing this feature, in that case we can consider a patch release. However, in the absence of community contribution and considering our existing resource constraints and priorities, there's no timeline for shipping this feature.

[DnPlas]

@rvadim that sounds like a pipelines example specific issue, do you mind filing an issue in kubeflow/pipelines so that it gets more visibility?

cc: @chensun @Davidnet

[DnPlas]

Closing this issue as the release cycle for 1.8 has come to an end. Thanks to the community that participated by testing and providing feedback during the various phases of the release.

If you need to reach out, please join us in the Community Meeting all Tuesdays (check the Calendar for more details)